Learning to Manipulate beyond Imitation - Robotics Institute Carnegie Mellon University
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PhD Speaking Qualifier

April

19
Fri
Jianren Wang PhD Student Robotics Institute,
Carnegie Mellon University
Friday, April 19
11:00 am to 12:00 pm
NSH 3002
Learning to Manipulate beyond Imitation

Abstract:
Imitation learning has been a prevalent approach for teaching robots manipulation skills but still suffers from scalability and generalizability. In this talk, I’ll argue for going beyond elementary behavioral imitation from human demonstrations. Instead, I’ll present two key directions: 1) Creating Manipulation Controllers from Pre-Trained Representations, and 2) Representing Video Demonstrations with Parameterized Symbolic Abstraction Graphs.

Committee:
Abhinav Gupta
Chris Atkeson
Deepak Pathak
Sudeep Dasari